Digital Twins

Digital twins refer to computerized companions of physical assets that can be used for various purposes. ""Digital twins"" use data from Sensors installed on physical objects to represent their near real-time status, working condition or position.

One example of digital twins can be the use of 3D modeling to create a digital companion for the physical object.[1][2][3] It can be used to view the status of the actual physical object, which provide a way to project physical objects into digital world.[4] Sensors will collect data and feed it back to the 3d modelling software through Internet of Things. This technology falls into augmented reality category. The digital twin is usually identical to the physical object not only on shape but also on positioning, gesture, status and motion.[5]

In another context, Digital twin can be also used for monitoring, diagnostics and prognostics. In this field, sensory data is sufficient for building digital twins. These models help to improve the outcome of prognostics by using and archiving historical information of physical assets and perform comparison between fleet of geographically distributed machines.[6][7][8] Therefore, complex prognostics and Intelligent Maintenance System platforms can leverage the use of digital twins in finding the root cause of issues and improve productivity.[9][10]

References

  1. ↑ "Shaping the Future of the IoT". YouTube. PTC. Retrieved 22 September 2015.
  2. ↑ "On Track For The Future - The Siemens Digital Twin Show". YouTube. Siemens. Retrieved 22 September 2015.
  3. ↑ "‘Digital twins’ could make decisions for us within 5 years, John Smart says". news.com.au. Retrieved 22 September 2015.
  4. ↑ "Digital Twin for MRO". LinkedIn Pulse. Transition Technologies. Retrieved 25 November 2015.
  5. ↑ "Digital Twin for SLM". YouTube. Transition Technologies. Retrieved 26 November 2015.
  6. ↑ "Digital Twin for Machine Monitoring". Youtube. IMS Center. Retrieved 6 March 2016.
  7. ↑ "Digital Twin Wind Turbine". Youtube. IMS Center. Retrieved 6 March 2016.
  8. ↑ "Wind Turbine Digital Twin". IMS Center. IMS Center.
  9. ↑ Lee, Jay; Bagheri, Behrad; Kao, Hung-An (January 2015). "A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems". Manufacturing Letters 3: 18–23. doi:10.1016/j.mfglet.2014.12.001.
  10. ↑ Lee, Jay; Lapira, Edzel; Bagheri, Behrad; Kao, Hung-an (October 2013). "Recent advances and trends in predictive manufacturing systems in big data environment". Manufacturing Letters 1 (1): 38–41. doi:10.1016/j.mfglet.2013.09.005.


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